Genomic Variant Coordinate Encoding for Secure Data Transmission
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Solution Overview
Problem
The transfer of large genomic data over unsecure networks poses privacy and security concerns due to its sensitivity and volume, with existing techniques failing to adequately address the specific characteristics of genomic data and quality of the information being transferred.
Innovation Solution
A system and method involving processing, reducing, encoding, and encrypting genomic data using mathematical coordinate systems and databases of short genomic variations (SNPs) to create a secure transfer mechanism, where data is reduced to non-redundant variant data, encoded using coordinate systems, and encrypted for secure transmission over unsecure networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If genomic data is transferred over unsecure networks, then transfer cost and accessibility are improved, but data security and privacy are compromised
Solution Approach 1:
The system performs preliminary actions by reducing the genomic data to a compact representation format before transfer. This pre-processing step creates a condensed version that maintains essential information while minimizing data volume, enabling secure transmission over unsecure networks without exposing excessive sensitive information during transit
Solution Approach 2:
The system creates a simplified copy or representation of the original genomic data rather than transferring the complete dataset. This copied representation contains only the necessary variant information in a compressed format, allowing transfer over unsecure networks while the full original data remains protected at its source location
2Loss of information
If complete genomic data is transferred, then data completeness is improved, but transfer time and network bandwidth are worsened
Solution Approach 1:
The system extracts only the essential variant information from the complete genomic data, removing redundant and unnecessary information. This extraction process identifies and retains only the clinically relevant variants while discarding excess data, achieving fast transfer times without significant loss of medically important information
Solution Approach 2:
The system changes the parameter representation of genomic data by converting it from a complete dataset format to a compact variant representation format. This parameter transformation reduces the data volume dramatically while preserving the critical genetic variant information needed for clinical interpretation
3Productivity
If data is reduced to non-redundant variants, then transfer efficiency is improved, but data processing complexity is worsened
Solution Approach 1:
The system performs preliminary filtering and annotation of genomic variants before transfer, pre-identifying and marking the clinically relevant variants. This pre-processing step organizes the data in advance, reducing the complexity of subsequent processing at the receiving end while maximizing transfer efficiency
Data Source
AI summary
The amount of genomic data as well the sensitivity of the information carried necessitates the need to develop smart and efficient ways to transmit genomic data in a secure way. While encryption schemes exist, there is also the need to first reduce the amount of massive information and then apply an encoding and encryption method that will be effective both in the economic sense as well as for security of genomic data. In this invention, we discuss novel techniques to encode processed variant information and send it across to a remote site ensuring covert transmission. The protocols not only encode and encrypts the information; it condenses the information that needs to be transferred.